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Building AI-Powered Control Towers for Real-Time Logistics Visibility

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Dep. Head of «Ruby Team» Discipline

Turning supply chain fragility into a competitive edge with integrated AI systems

In an era of supply chain disruptions, volatile demand, and global instability, logistics has quickly evolved from a back-office function into a strategic differentiator. Delayed shipments, inventory imbalances, and lack of real-time visibility have become common pain points for companies across sectors — from manufacturing to retail. As a recent Financial Times article highlights, organizations are actively exploring how artificial intelligence can help restore control and predictability to increasingly fragile logistics operations.

One particularly impactful approach involves using AI-powered “control towers”: dynamic, integrated platforms that enable real-time monitoring and decision-making across the logistics network. These systems are helping companies transition from reactive firefighting to proactive, insight-driven operations, and at JetRuby, we’ve been assisting mid-sized businesses in doing precisely that through custom-built logistics intelligence platforms.

Why logistics teams feel stuck — and how AI helps

Many of today’s logistics challenges stem from fragmented systems and a lack of data integration. Traditional workflows weren’t built to support today’s demand volatility, cross-border complexity, or real-time decision-making. When most businesses detect an issue, it disrupts operations, forces reactive rerouting, or increases costs through expedited shipping.

AI helps shift this dynamic. Instead of simply tracking delays, it empowers teams to prevent them.

Here’s what AI-powered control towers make possible:

  • Unified dashboards that provide real-time visibility into shipments, inventories, and supplier performance
  • Predictive analytics to forecast demand and anticipate disruptions
  • Intelligent recommendations to optimize routing, warehousing, and last-mile delivery
  • Dynamic alerts that trigger early interventions when things go off-track

In short, AI adds both visibility and actionability, helping companies make better decisions faster across a connected ecosystem.

Real-world transformation: Sortly’s scalable logistics backbone

A great example is our partnership with Sortly, a fast-growing inventory management platform. They came to JetRuby seeking a more reliable backend system that could support both mobile and web applications and scale with their growing customer base, which includes enterprise clients such as HP, PepsiCo, and Yale.

We helped redesign their entire backend architecture, creating a flexible API infrastructure that made it easier to roll out new features, sync mobile and web platforms, and maintain a smooth user experience. While the term “control tower” wasn’t used explicitly, the goals were to build a digital nervous system for logistics data and enable real-time visibility and control at scale.

As a result, Sortly became the №1 inventory app in the App Store, with over 300,000 global installations. Their team gained the speed and flexibility to deliver new features quickly — and the confidence that their platform could handle whatever came next.

Why companies trust JetRuby with logistics AI

We’re often asked what sets JetRuby apart in the AI space. The answer is simple: we combine engineering depth with product thinking. That means we don’t just build what’s on the spec sheet — we ask the right questions, identify core business goals, and design intelligent systems that create long-term value.

When we build logistics AI solutions, we focus on:

  • Tailored architecture that fits your tech stack and workflows
  • Clean, user-friendly dashboards that support real-time insights
  • Modular designs that allow for future scaling and integration
  • Business logic that reflects your actual day-to-day decision-making

“Three key benefits of AI in logistics: faster decisions, lower costs, and fewer surprises”

Whether you’re looking to cut costs, reduce delays, or respond more confidently to global supply chain volatility, we ensure the tools we build support those outcomes.

What’s next: Resilient supply chains through more innovative infrastructure

As logistics teams look ahead, the emphasis shifts from speed and cost to resilience, flexibility, and intelligence. That means making the right digital investments — not only in automation, but also in the infrastructure that gives visibility across the whole value chain.

“Diagram of AI control tower architecture showing data flow from warehouse, delivery ETAs, and supplier performance into a unified dashboard”

AI control towers are a foundational piece of that shift. They provide:

  • A single source of truth across operations
  • The ability to simulate “what-if” scenarios before disruptions occur
  • Automated decision support that boosts team performance
  • Real-time collaboration across internal and external logistics partners

And importantly, they’re no longer just for billion-dollar enterprises. With JetRuby, mid-sized companies can access the same level of intelligence and agility through custom, cost-efficient solutions that deliver value fast.

Let’s build your control tower

If you’re struggling with blind spots in your logistics or tired of putting out fires, we’d love to explore how an AI control tower could work for your business. Whether you need demand forecasting, dynamic routing, or unified tracking — or want to start with a discovery workshop — our team is here to help.

👉 Book a quick intro call to discuss your supply chain goals and how JetRuby can support them with AI.

Dep. Head of «Ruby Team» Discipline

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